Instruction following · Tencent

Hunyuan-Turbo Max on IFEval: score, rank and what it means

Hunyuan-Turbo Max scores 85.4 on IFEval, placing it #175 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
85.4
0–100 scale
Rank
#175
of 600
Percentile
71th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
10.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Hunyuan-Turbo Max highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Hunyuan-Turbo Max sits at #175 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 10.7 points. The median model in this index scores 81.2, which puts Hunyuan-Turbo Max above the midpoint.

Tencent models average 79.6 on this benchmark. Hunyuan-Turbo Max is 5.8 points above that provider line, so it is a stronger result than the average Tencent model.

Among multimodal models, the average is 85.2. Hunyuan-Turbo Max is 0.2 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 85.4 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $12.40 per million input tokens, Hunyuan-Turbo Max is above the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Yi-Lightning Instruct 01.AI 128000 $4.16 76.5
Command R+ Instruct Cohere 200000 $4.16 76.2
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7
Llama 3.1 Instruct Meta AI 200000 $4.05 75.7
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Llama 3.3 Instruct Meta AI 128000 $4.33 76.6
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0

Other benchmarks for Hunyuan-Turbo Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.8 217 64th
GPQA Diamond 75.8 125 79th
SWE-bench Verified 66.0 195 68th
HumanEval 82.6 169 72th
MATH-500 83.7 134 78th
AIME 2025 76.7 133 78th
LiveCodeBench 70.8 176 71th
TruthfulQA 80.8 161 73th
HellaSwag 86.1 211 65th
MMMU 74.4 173 71th
Arena Elo 1421.3 143 76th

FAQ

What score does Hunyuan-Turbo Max get on IFEval?

Hunyuan-Turbo Max scores 85.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Hunyuan-Turbo Max rank on IFEval?

It ranks #175 of 600 models, in the 71st percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Hunyuan-Turbo Max good at IFEval?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the IFEval score calculated?

IFEval is a instruction following benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Hunyuan-Turbo Max cost?

Hunyuan-Turbo Max costs $12.40 per million input tokens and $48.22 per million output tokens.

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